Big Query Data Engineer

Job ID: 112592
Location: Magnolia, Arkansas  [Remote]
Category: App/Dev
Employment Type: Contract
Date Added: 05/12/2026

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Role Summary
A highly motivated Data Engineer with a passion for cloud computing is sought to support large-scale data systems in a remote environment. This role involves managing data ingestion pipelines, automating processes, and applying analytical skills to optimize data workflows. The ideal candidate will have experience working with cloud-based data platforms and a strong foundation in data management and automation.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and workflows in cloud environments, primarily using BigQuery or equivalent platforms.
  • Automate data ingestion processes utilizing tools such as Airflow or similar automation frameworks.
  • Manage large datasets efficiently, ensuring data integrity and performance optimization.
  • Collaborate with cross-functional teams to support data integration, testing, and deployment within production environments.
  • Implement best practices for change management and version control during development cycles.
  • Troubleshoot and resolve data processing issues, applying analytical and problem-solving skills.
  • Document data workflows and processes clearly for team reference and compliance purposes.
  • Support data migration efforts from on-premise or hosted platforms to cloud-based solutions.
  • Contribute to continuous improvement initiatives to enhance data infrastructure capabilities.
  • Stay current with evolving cloud data technologies and incorporate innovative solutions as appropriate.

Qualifications

  • 2-5 years of experience managing large data systems in production environments.
  • Hands-on experience with cloud-based data platforms, preferably BigQuery; experience with Google Cloud is a plus.
  • Proficiency in SQL and Python for data manipulation, automation, and analysis.
  • Experience automating data ingestion and workflows using Airflow or comparable tools.
  • Strong analytical thinking and problem-solving capabilities.
  • Familiarity with SDLC processes, including testing and deployment in production environments.
  • Knowledge of change management practices related to data workflows and solutions.
  • Ability to work independently in a remote setting with efficient communication skills.
  • Preferred experience in healthcare data environments, JIRA, Confluence, and cloud migration processes.
  • Exposure to AI applications for development and problem resolution is advantageous.

Publishing Pay Range: $50.00 – $52.00 hourly

This is a fully remote role and can be performed from an approved location.